Thesis Details

Rozpoznávání registračních značek vozidel

Bachelor's Thesis Student: Martinský Ondrej Academic Year: 2006/2007 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Recognition of Vehicle Number Plates
Language
Czech
Abstract

This work deals with problematic from field of artificial intelligence, machine vision and neural networks in construction of an automatic number plate recognition system. (ANPR). This problematic includes mathematical principles and algorithms, which ensure a process of number plate detection, processes of proper characters segmentation, normalization and recognition. Work comparatively deals with methods achieving invariance of systems towards image skew, translations and various light conditions during the capture. Work also contains an implementation of a demonstration model, which is able to proceed these functions over a set of snapshots. 

Keywords

machine vision, artificial intelligence, neural networks, optical character recognition, OCR, ANPR

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
11 June 2007
Reviewer
Zbořil František, doc. Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Pelikán Jaroslav, RNDr., Ph.D. (FI MUNI), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
MARTINSKÝ, Ondrej. Rozpoznávání registračních značek vozidel. Brno, 2007. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-06-11. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/302/
BibTeX 
@bachelorsthesis{FITBT302,
    author = "Ondrej Martinsk\'{y}",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} registra\v{c}n\'{i}ch zna\v{c}ek vozidel",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/302/"
}

Theses

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